Liu, L., and M.I. Mishchenko, 2001: Constraints on PSC
particle microphysics derived from lidar observations.
Not exact matches
If «aggrandisation is not guaranteed», could we just expect from cloud
microphysics models that more
particles > 3nm will most probably imply more CCN in troposphere?
The presence of soluble material (which may be of anthropogenic origin) on the desert dust
particles converts them into large and effective CCN which may affect the cloud
microphysics.
The problem with clouds in climate models are of two different types: the first is a
microphysics / chemistry one, regarding the physics and chemistry of how a population of cloud
particles interacts with aerosol
particles and evolves with time.
Furthermore, a model that could realistically simulate the impact of increasing atmospheric
particle concentration on climate must eventually include the simultaneous coupled effects of all the important atmospheric processes, such as fluid motions and cloud
microphysics, in addition to the radiative transfer effects.»
Using liquid and ice
microphysics models reduces the biases in cloud optical thicknesses to ≲ 10 %, except in cases of mistaken phase identification; most of the remaining bias is caused by differences between actual cloud
particle sizes and the values assumed in the analysis.